Huiyu Zhou, PhD


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Professor

Machine Learning                 

F3 Informatics Building                       
School of Computing and Mathematical Sciences
University of Leicester
University Road
Leicester
LE1 7RH

Telephone number (office): +44(0)116 252 5295

Email: hz143@leicester.ac.uk

ORCID: 0000-0003-1634-9840

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Personal details

Prof. Huiyu (Joe) Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom.

Prof. Zhou heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and is the Coordinator of MSc Distance Learning (Informatics), PGR Tutor and a Member of Research Committee at Informatics. Prior to this appointment, he worked as Reader (1/2018-3/2020) at University of Leicester, and Lecturer (9/2012-12/2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He is a visiting scholar of QUB.

Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper  Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". He serves as:

Prof. Zhou has been an external examiner for PhD candidates from universities of UK (e.g. Imperial, QMUL, Surrey, Reading, Essex and Brunel), Hong Kong (e.g. HKU and PolyU), Australia (UNSW Sydney), India (e.g. Anna and Andhra) and China (e.g. SHU), and Digital Design and Branding MSc of Brunel University London (2018-19). He also serves as:

Prof. Zhou's research specialisation includes machine learning, computer vision, intelligent systems and signal processing. His research interest has focused on the development of AI/machine learning algorithms that enable a system to better understand and interpret images/signals. His research has been or is supported by UK EPSRC, ESRC, AHRC, MRC, EU ICT, Royal Society, Innovate UK, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer Research (UK) and industry.

Teaching

  1. Computational Intelligence and Software Engineering (CO3091/7091), Autumn, 2019-21, University of Leicester.
  2. Service-Oriented Architectures (CO7214/7514), Spring, 2018-19, University of Leicester.
  3. Big Data & Predictive Analytics (CO3093/7093), Spring, 2018, University of Leicester.
  4. Multimedia and Computer Graphics (CO2016), Spring, 2018-19, University of Leicester.
  5. Web and Mobile App Development (CSC3054/7054), Spring, 2013-17, Queen's University Belfast.

Research Grants

  1. "Co-design and implement a COVID-19 vaccine uptake intervention within Chinese communities in England", Co-I, AHRC, 5/2021-11/2021, £79958.
  2. "Intelligent collaborative network model of complex equipment remanufacturing based on industrial IoT information perception", PI, Royal Society, 2021-2023, £12K.
  3. "Optimising deep neural networks for fully automating a novel technology for risk stratification of sudden cardiac death", Co-I, MRC CIC, 2021, £43K.
  4. "Deep learning methods for early detection of myocardial ischemia using digital and paper ECGs", Co-I, The van Geest Heart and Cardiovascular Disease Research Fund, 2020-21. £11769.51.
  5. "The detection of small objects in a large area through data fusion", Co-I, British Telecom, 2020-21. £14964.64.
  6. "Analysis of Twitter discussions on COVID-19 in Nigeria: Understanding trends in attitudes and social media strategies", Co-I, GCRF IRDF, May-July, 2020. £11795.00.
  7. "Automated analysis of housing construction progress through remote sensing", PI, Research England and Stevenson Astrosat Ltd, April 2020-May, 2021. £94K.
  8. "Deep learning in cell line authorisation", PI, AstraZeneca Cambridge, 2020-24, £30K.
  9. "ESRC IAA Strategic Partnership: East Midlands Police and Academic Collaboration", Co-I, ESRC IAA, 2019-21, £46K.
  10. "Deep learning for refining LifeMap - a new technology for risk stratification of sudden cardiac death", Co-I, MRC CIC, 2019-20, £43K.
  11. "Kinect measurement of range, rhythm and rate of motion for evaluating shoulder diseases", UoL PI, University Hospitals of Leicester NHS Trust, 2018-19, £5K.
  12. "Cross-cultural computer-supported collaborative learning for student capacity building in data science", Co-I, STFC ODA Award, 2018, £17,699.
  13. Smart distribution grid: a market driven approach for the next generation of advanced operation models and services” (DOMINOES), UoL PI, H2020, 2017-21. Total budget: €4M, UoL allocation: €304K.
  14. Video traffic analysis for abnormal event detection”, PI, Newton Advanced Fellowship, 2017-23. £105K. In addition, 500K (RMB) are provided from NSF of China.
  15. AUTOMAC: AUTOmated Mouse behAviour reCognition”, PI, EPSRC, UK, 2016-17. £99K.
  16. Feasibility study of ECG identification algorithms”, PI, B-Secur Ltd., 2016-17. £62K.
  17. An early warning foetal motion detection system”, PI, Puffin Trust, 2017-18. £2K.
  18. Using game theory to assess the effects of social norms and social networks on adolescent smoking in schools: a proof of concept study”, Co-I, MRC, 2018-21. £727K.
  19. "Application of a novel automated behaviour monitoring system to study the effects of Alzheimer's disease pathology in mouse models", Co-I, Alzheimer Research UK, Pump-Priming Fund, 2017-18. £5K.
  20. Plasmofluidic analytical device: a rapid point-of-sampling diagnostic and management support platform for infectious and antimicrobial resistant pathogens”, Co-I, Agri-Food Quest, 2016-18. £250K.
  21. “Mobile plasmofluidic paper-based analytical device: A rapid diagnostic and management support platform to combat multi-drug resistance for resource-poor settings”, Co-I, subtask of EPSRC QUBAN Programme, 2016-17. Total budget: £395K and our allocation: £50K.
  22. Smartphone analyzers for on-site testing of food quality and safety” (FoodSmartPhone), Co-I, H2020-MSCA-ITN, 2017-20. Total budget: €2.84M, QUB allocation: €820K.
  23. “Pathological cancer image analysis”, Co-I, Invest NI/Philips Pathology, UK, 2016-18. £299K.
  24. Centre for Secure Information Technologies (CSIT 2)”, Co-I, EPSRC/Innovate UK/Invest NI, 2015-20. Total budget: £38M.

Patents

  1. Zhang, X., Jiao, L.-C., Hou, W., Tang, X., Zhu, P.,  Zhou. H. and Ma, W. "Remote sensing ship detection method and process based on feature pyramid and distance constrained FCN", CN109711288B, 4th May, 2021.
  2. Zhang, X., Jiao, L.-C., Liu, F., Tang, X., Li, C., Chen, P., Hou, B. and Zhou. H. "Remote sensing image super-resolution reconstruction method based on fuzzy kernel classification and attention mechanism", CN111369442A, 3rd July, 2020.
  3. Zhang, X., Wang, X., Jiao, L.-C., Li, C., Tang, X.,  Zhou, H., Chen, P. and Gu, J. "Remote sensing image ground feature classification method based on lightweight semantic segmentation network", CN111079649A, 28th April, 2020.

Publications and Code

A full list of publications can be found at Google Scholar and DBLP. Our team is making continuous efforts to share the source code and/or datasets of each piece of the published works with the research community. Recent publications (accepted or published after 1st Jan. 2020) include:

Books/Proceedings -

  1. "Applications of intelligent systems in multi-model information analytics", Sugumaran, V., Xu, Z. and Zhou, H. (Editors), Springer, 2021.
  2. "Proc. of the 9th International Conference on Computer Engineering and Networks", Liu, Q., Liu, X., Li, L., Zhou, H. and Zhao, H. (Editors), Springer, 2020.
  3. "Applications of intelligent systems in multi-model information analytics", Sugumaran, V., Xu, Z. and Zhou, H. (Editors), Springer, 2020.

Journals -

  1. Yu, X., Chen, X., Amrute-Nayak, M., Allgeyer, E., Zhao, A., Chenoweth, H., Clement, M., Harrison, J., Doreth, C., Sirinakis, G., Krieg, T., Zhou, H., Huang, H., Tokuraku, K., Johnston, D., Mallat, Z. and Li, X. "MARK4 controls ischaemic heart failure through microtubule detyrosination", Nature. 2021, Vol. 594, 560-565. [Source code] [Media 1] [Media 2]
  2. Shamsolmoali, P., Zareapoor, M., Chanussot, J., Zhou, H. and Yang, J. "Rotation equivariant feature image pyramid network for object detection in optical remote sensing imagery", IEEE Trans. Geoscience and Remote Sensing. Accepted for publication. [arXiv]
  3. Yue, Z., Gao, F., Xiong, Q., Sun, J., Hussain, A. and Zhou, H. "A novel few-shot learning method for Synthetic Aperture Radar image recognition", Neurocomputing. 2021, Vol. 465, 215-227. [Accepted version]
  4. Chen, Y., Sun, J., Yang, Y., Li, T., Niu, X. and Zhou, H. "PSSPR: A source location privacy protection scheme based on sector phantom routing in WSNs", International Journal of Intelligent Systems. Online publication. [arXiv]
  5. Du, D., Zhang, C., Li, X., Fei, M., Yang, T.C. and Zhou, H. "Secure control of networked control systems using dynamic watermarking", IEEE Trans. on Cybernetics. Accepted for publication. [arXiv] [Source code]
  6. Shamsolmoali, P., Chanussot, J., Zareapoor, M., Zhou, H. and Yang, J. "Multi-patch feature pyramid network for weakly supervised object detection in optical remote sensing images", IEEE Trans. on Geoscience and Remote Sensing. Online publication. [arXiv] [Source code is coming]
  7. Sun, H., Cen, J., Liu, N., Liang, D. and Zhou, H. "MPI: Multi-receptive and parallel integration for salient object detection", IET Image Processing. Online publication. [arXiv] [Source code]
  8. Zhou, F., Jiang, Z., Liu, Z., Chen, F., Chen, L., Tong, L., Yang, Z., Wang, H., Fei, M., Li, L. and Zhou, H. "Structured context enhancement network for mouse pose estimation", IEEE Trans. on Circuits and Systems for Video Technology. ONline publication. [arXiv] [Source code]
  9. Sun, X., Chen, C., Wang, X., Dong, J., Zhou, H. and Chen, S. "Gaussian dynamic convolution for efficient single-image segmentation", IEEE Trans. on Circuits and Systems for Video Technology. Online publication. [arXiv] [Source code]
  10. Wu, D., Zhu, D., Sheng, M., Li, N. and Zhou, H. "Clutter suppression for wideband Radar STAP", IEEE Trans. on Geoscience and Remote Sensing. Online publication. [Accepted version]
  11. Zhang, T., Zhang, X., Zhu, P., Tang, X., Li, C., Jiao, L.-C. and Zhou, H. "Semantic attention and scale complementary network for instance segmentation in remote sensing images", IEEE Trans. on Cybernetics. Accepted for publication. [arXiv] [Source code]
  12. Ju, Y., Jian, M., Guo, S., Wang, Y., Zhou, H. and Dong, J. "Incorporating Lambertian priors into surface normals measurement", IEEE Trans. on Instrumentation & Measurement. 2021, Vol. 70, pp. 1-13. [arXiv] [Source code]
  13. Sun, Y., Huang, X., Zhou, H. and Zhang, Q. "SRPN: Similarity-based region proposal networks for nuclei and cells detection in histology images", Medical Image Analysis. 2021, 72, 102142. [arXiv] [Source code]
  14. Li, F., Wang, Y., Ju, H., Yu, X., Wang, Z. and Zhou, H. "LacminCC: lightweight anonymous communication model in cloud computing", EURASIP Journal on Wireless Communications and Networking. 2021, 120.
  15. Jiang, Z., Zhou, F., Zhao, A., Li, X., Li, L., Tao, D., Li, X. and Zhou, H. "Multi-view mouse social behaviour recognition with deep graphical model", IEEE Transactions on Image Processing. 2021, Vol. 30, 5490-5504. [arXiv] [Source code]
  16. Zhang, Z., Sun, J., Zhou, H. and Xu, C. "Group target tracking based on MS-MeMBer filters", Remote Sensing. 2021, 13(10), 1920. [Source code]
  17. Gan, Y., Dong, X., Zhou, H., Gao, F. and Dong, J. "Learning the precise feature for cluster assignment", IEEE Transaction on Cybernetics. Published online. [arXiv] [Source code]
  18. Gao, Y., Feng, X., Zhang, T., Rigall, E., Zhou, H., Qi, L. and Dong, J. "Wallpaper texture generation and style transfer based on multi-label semantics", IEEE Transaction on Circuits and Systems for Video Technology. Accepted for publication. [arXiv] [Source code]
  19. Feng, S., Zhou, H. and Dong, H. "Application of deep transfer learning for the prediction of crystal structure of inorganic substances", Computational Materials Science. 2021, Vol. 195, 110476. [Source code]
  20. Wang, X., Duan, L., Shi, A. and Zhou, H. "Multi-level feature fusion networks with adaptive channel dimensionality reduction for remote sensing scene classification", IEEE Geoscience and Remote Sensing Letters. Published online. [Accepted version] [Source code and datasets]
  21. Yi, C., Jiang, F., Zhang, S., Guo, H., Yang, C., Ding, Z., Wei, B. Lan, X. and Zhou, H. "Continuous prediction of lower-limb kinematics from multi-modal biomedical signals", IEEE Trans. on Circuits and Systems for Video Technology. Published online. [arXiv, source code] [Demo]
  22. He, Y., Gao, F. Wang, J., Hussain, A., Yang, E. and Zhou, H. "Learning polar encodings for arbitrary-oriented ship detection in SAR images", IEEE J. of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, 14(3), 3846-3859. [arXiv] [Source code]
  23. Liu, Z., Tong, L., Chen, L., Zhou, F., Jiang, Z., Zhang, Q., Wang, Y., Shan, C., Li, L. and Zhou, H. "CANet: Context aware network for 3D brain tumor segmentation", IEEE Trans. on Medical Imaging. 2021, 40(7), 1763-1777. [arXiv] [Source code]
  24. Alkan, A., Abdullah, M., Abdulah, H., Assaf, M. and Zhou, H. "A smart agricultural application: Automated detection of diseases in vine leaves using hybrid deep learning", Turkish Journal of Agriculture and Forestry. Published online. [Accepted version]
  25. Lu, L., Zhu, H., Dong, J., Ju, Y. and Zhou, H. "Three-dimensional reconstruction with a laser line based on image in-painting and multi-spectral photometric stereo", Sensors. 2021, 21(6), 2131. [Source code]
  26. Zhao, A., Dong, J., Li, J., Qi, L. and Zhou, H. "Associated spatio-temporal capsule network for gait recognition", IEEE Trans. on Multimedia. Published online. [arXiv] [Source code]
  27. Xiong, P., Zhai, D., Long, C., Zhou, H., Zhang, X. and Shen, X. "Long short-term memory neural network for ionospheric total electron content forecasting over China", Space Weather. 2021, 19(4), e2020SW002706. [Source code]
  28. Liu, L., Zhou, W., Fei, M., Yang, Z., Yang, H. and Zhou, H. "Distributed fusion estimation for stochastic uncertain systems with networked-induced complexity and multiple noise", IEEE Trans. on Cybernetics. Published online. [arXiv] [Source code]
  29. Zhao, A., Dong, J., Qi, L., Zhang, Q., Li, N., Wang, X. and Zhou, H. "Multimodal gait recognition for neurodegenerative diseases", IEEE Trans. on Cybernetics. Published online. [arXiv] [Source code]
  30. Li, F., Ren, P., Yang, G., Sun, Y., Wang, Y., Wang, Y., Li, S. and Zhou, H. "An efficient anonymous communication scheme to protect the privacy of the source node location in the Internet of Things", Security and Communication Networks. 2021, article ID 6670847.
  31. Xiong, P., Tong, L., Zhang, K., Shen, X., Battiston, R., Ouzounov, D., Iuppa, R., Crookes, D., Long, C. and Zhou, H. "Towards advancing the earthquake forecasting by machine learning of satellite data", Science of the Total Environment. 2021, 771, 145256. [arXiv] [Source code]
  32. Xu, W., Chu, J., Yu, X. and Zhou, H. "Energy-efficiency optimization scheme based on SWIPT in distributed antenna systems", KSII Transactions on Internet and Information Systems. 2021, 15(2), pages 673-694.
  33. Shamsolmoali, P., Zareapoor, M., Granger, E., Zhou, H., Wang, R., Celebi, E.M. and Yang, J. "Image synthesis with adversarial networks: A comprehensive survey and case studies", Information Fusion. 2021, Vol. 72, pages 126-146. [arXiv] [More information]
  34. Liu, K., Hu, X., Zhou, H., Tong, L., Widanage, W. and Macro, J. "Feature analyses and modelling of Lithium-ion batteries manufacturing based on Random Forest classification", IEEE/ASME Trans. on Mechatronics. Published online. [arXiv]
  35. Feng, S., Fu, H., Zhou, H., Wu, Y., Lu, Z. and Dong, H. "A general and transferable deep learning framework for predicting phase formation in materials", npj Computational Materials. 2021, 7, 10. [Source code and dataset]
  36. Wang, X., Wang, S., Ning, C. and Zhou, H. "Enhanced feature pyramid network with deep semantic embedding for remote sensing scene classification", IEEE Trans. on Geoscience and Remote Sensing. 2021, 59(9), 7918-7932. [Accepted version] [Source code and datasets]
  37. Lv, Q., Sun, X., Chen, C., Dong, J. and Zhou, H. "Parallel complement network for semantic segmentation of road scenes", IEEE Trans. on Intelligent Transportation Systems. Published online. [Accepted version]
  38. Li, F., Wang, D., Wang, Y., Yu, X., Wu, N., Yu, J. and Zhou, H. "Wireless communication and mobile computing blockchain-based trust management in distributed Internet of Things", Wireless Communications and Mobile Computing. 2020, Article ID: 8864533.
  39. Li, F., Wang, Y., Ju, H., Wang, Y., Wang, Z. and Zhou, H. "FarpScusn: Fully anonymous touting protocol with self-healing capability in unstable sensor networks", Sensors. 2020, 20(22), 6683.
  40. Sun, H., Geng, W., Shen, J., Liu, N., Liang, D. and Zhou, H. "Deeper SSD: Simultaneous up-sampling and down-sampling for drone detection", KSII Transactions on Internet and Information Systems. 2020, 14(12), 4795-4815.
  41. Liao, J., Wang, Y., Yin, J., Bi, L., Zhang, S., Zhou, H. and Zhu, D. "An integrated navigation method based on an adaptive Federal Kalman Filter for rice transplanter", Transaction of the ASABE. 2021, 64(2), 389-399.
  42. Cen, J., Sun, H., Chen, X., Liu, N., Liang, D. and Zhou, H. "WFNet: A wider and finer network for salient object detection", IEEE Access. 2020, 8, 210418-210428.
  43. Tu, J., Gao, F., Sun, J., Hussain, A. and Zhou, H. "Airport detection in SAR images via salient line segment detector and edge-oriented region growing", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, 14, 314-326. [Accepted version]
  44. Yu, X., Li, F., Li, T., Wu, N., Wang, H. and Zhou, H. "Trust-based secure directed diffusion routing protocol in WSN", Journal of Ambient Intelligence and Humanized Computing. Published online.
  45. Chen, L., Jiang, Z., Tong, L., Liu, Z., Zhao, A., Zhang, Q., Dong, J. and Zhou, H. "Perceptual underwater image enhancement with deep learning and physical priors", IEEE Trans. on Circuits and Systems for Video Technology. 2021, 31(8), 3078-3092. [arXiv] [Source code and datasets]
  46. Ma, H., Sun, C., Wang, J., Mu, J., Yang, Z. and Zhou, H. "Multi-system optimization for an integrated production scheduling with resource saving problem in textile printing and dyeing", Complexity. 2020, Article ID 8853735.
  47. Xiong, P., Long, C., Zhou, H., Battiston, R., Zhang, X. and Shen, X. "Identification of electromagnetic pre-earthquake perturbations from the DEMETER data by machine learning", Remote Sensing. 2020, 12(21), 3643.
  48. Liao, J., Wang, Y., Zhu, D., Zou, Y., Zhang, S. and Zhou, H. "Automatic segmentation of crop/background based on luminance partition correction and adaptive threshold", IEEE Access. 2020, 8, 202611-202622.
  49. Liu, L., Xi, D., Cheng, L., Wang, Y., Cai, B. and Zhou, H. "Enhanced Gray-code method for three-dimensional shape measurement", Infrared and Laser Engineering. 2020, 49(11): 20200314.
  50. Zhang, J., Zhou, J., Li, M., Zhou, H. and Yu, T. "Quality assessment of SAR-to-optical image translation", Remote Sensing. 2020, 12, 3472. [Source code]
  51. Qi, Y., Zhang, S., Jiang, F., Zhou, H., Tao, D. and Li, X. ``Siamese local and global networks for robust face tracking", IEEE Trans. on Image Processing. 2020, 29, 9152-9164. [Accepted version]
  52. Dong, X., Zhou, H. and Dong, J. "Texture classification using pair-wise difference pooling based bilinear convolutional neural networks", IEEE Trans. on Image Processing. 2020, 29, 8776-8790. [researchgate]
  53. Shamsolmoali, P., Zareapoor, M., Zhou, H., Wang, R. and Yang, J. "Road segmentation for remote sensing images using Adversarial Spatial Pyramid Networks", IEEE Trans. on Geoscience and Remote Sensing. 2021, 59(6), 4673-4688. [arXiv] [Source code]
  54. Li, F., Liu, Z., Li, T., Ju, H., Wang, H. and Zhou, H. "Privacy-aware PKI Model with strong forward security", International Journal of Intelligent Systems. Published online.
  55. Xu, Z., Chang, W., Zhu, Y., Dong, L., Zhou, H. and Zhang, Q. "Building high-fidelity human body models from user-generated data", IEEE Trans. on Multimedia. 2021, Vol. 23, 1542-1556. [Accepted version] [Dataset]
  56. Gao, F., He, Y., Wang, J., Hussain, A. and Zhou, H. "Anchor-free convolutional network with dense attention feature aggregation for ship detection in SAR images", Remote Sensing. 2020, 12(16), 2619.
  57. Yue, Z., Gao, F., Xiong, Q., Wang, J., Hussain, A. and Zhou, H. "A novel attention fully convolutional network method for Synthetic Aperture Radar image segmentation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13, 4585-4598. [Accepted version]
  58. Sun, H., Yang, J., Shen, J., Liang, D., Liu, N. and Zhou, H. "TIB-Net: Drone detection network with tiny iterative backbone", IEEE Access. 2020, 8, 130697-130707. [Source code]
  59. Hunter, R., Montes, F., Murray, J.M., Sanchez-Franco, S.C., Montgomery, S.C., Jaramillo, J., Tate, C., Kumar, R., Dunne, L., Ramalingam, A., Kimbrough, E., Krupka, E., Zhou, H., Moore, L., Bauld, L., Llorente, B., Sarmiento, O. and Kee, F. "MECHANISMS Study: Using Game Theory to assess the effects of social norms and social networks on adolescent smoking in schools - study protocol", Frontiers in Public Health. 4th August, 2020. https://doi.org/10.3389/fpubh.2020.00377.
  60. Sun, H., Chen, X., Wang, L., Liang, D., Liu, M., Zhou, H. "C2DAN: An improved deep adaptation network with domain confusion and classifier adaption", Sensors. 2020, 20(12), 3606.
  61. Zhang, K., Fu, J., Hua, L., Zhang, P., Shao, Y., Xu, S., Zhou, H., Chen, L., Wang, J. "Multiple morphological constraints based complex gland segmentation in colorectal cancer pathology image analysis", Complexity. 2020, Article ID 6180457.
  62. Elmrabit, N., Yang, S.-H., Yang, L. and Zhou, H. "Insider threat risk prediction based on Bayesian network", Computer & Security. 2020, Vol. 96, 101908. [Accepted version] [Prototype source code and data]
  63. Zhao, A., Dong, J. and Zhou, H. "Self-supervised learning from multi-sensor data for sleep recognition", IEEE Access. 2020, 8(1), 93907-93921. [Source code]
  64. Ma, X., Zhang, X., Tang, X., Zhou, H. and Jiao, L.-C. "Hyperspectral anomaly detection based on low-rank representation with data-driven projection and dictionary construction", IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. 2020, 13(1), 2226-2239. [Accepted version]
  65. Sun, X., Xu, H., Dong, J., Zhou, H., Li, Q. and Chen, C. "Few-shot learning for domain-specific fine-grained image classification", IEEE Trans. on Industrial Electronics. 2021, 68(4), 3588-3598. [arXiv] [Source code]
  66. Lan, X., Zhang, D., Zhang, S., Deepak, J. and Zhou, H. "Robust multi-modality anchor graph-based label prediction for RGB-infrared tracking", IEEE Trans. on Industrial Informatics. Early online publication. [Accepted version]
  67. Gao, Y., Gan, Y., Qi, L., Zhou, H., Dong, X. and Dong, J. "A perception-inspired deep learning framework for predicting perceptual texture similarity", IEEE Trans. on Circuits and Systems for Video Technology. 2020, 30(10), 3714-3726.  [Accepted version] [Source code]
  68. Hong, X., Li, H., Miller, P., Zhou, J., Li, L., Crookes, D., Lu, Y., Li, X. and Zhou, H. "Component-based feature saliency for clustering", IEEE Trans. on Knowledge and Data Engineering. 2021, 33(3), 882-896. [Accepted version] [Source code and dataset]
  69. Shamsolmoali, P., Zareapoor, M., Zhou, H. and Yang, J. "AMIL: Adversarial multi instance learning for human pose estimation", ACM Transactions on Multimedia Computing, Communications, and Applications. Vol. 16, No. 1s, 2020. [arXiv] [Source code]
  70. Li, F., Cui, C., Wang, D., Liu, Z., Elmrabit, N., Wang, Y. and Zhou, H. "Privacy-aware secure anonymous communication protocol in CPSS", IEEE Access, 8(1), 62660-62669, 2020.
  71. Dong, X. and Zhou, H. "Texture synthesis quality assessment using perceptual texture similarity", Knowledge-Based Systems. 2020, Vol. 194, 105591. [Accepted version]
  72. Zhang, K., Jiang, P.P., Hua, L., Fei, M. and Zhou, H. "Investigation of accurate detection of large-scale objects under a wide field of view", Chinese Journal of Scientific Instrument. 2020, Issue 4, 191-199.
  73. Li, F., Ge, R., Zhou, H., Wang, Y., Li, T. and Liu, Z. "Tesia: A trusted efficient service evaluation model in IoT based on improved aggregation signature", Concurrency and Computation: Practice and Experience. Early online publication. [Accepted version]
  74. Du, D., Zhang, C., Song, Y., Zhou, H., Li, X., Fei, M. and Li, W. "Real-time Hcontrol of networked inverted pendulum visual servo systems", IEEE Trans. on Cybernetics. 2020, 50(12), 5113-5126. [Accepted version] [Source code]
  75. Yue, Z., Gao, F., Xiong, Q., Wang, J., Huang, T., Yang, E. and Zhou, H. "A novel semi-supervised convolutional neural network method for Synthetic Aperture Radar image recognition", Cognitive Computation. 2021, 13(4), 795-806. [Accepted version]
  76. Fei, Z., Yang, E., Li, D., Butler, S., Ijomah, W., Li, X. and Zhou, H. "Deep convolution network based emotion analysis towards mental health care", Neurocomputing. 2020, Vol. 388, 212-227. [Accepted version]
  77. Ma, F., Gao, F., Wang, J., Hussain, A. and Zhou, H. "A novel biologically inspired target detection method based on saliency analysis in SAR imagery", Neurocomputing. 2020, Vol. 402, 66-79. [Accepted version]
  78. Dong, X., Dong, X., Dong, J. and Zhou, H. "Monocular visual-IMU odometry: A comparative evaluation of detector-descriptor based methods", IEEE Trans. on Intelligent Transportation Systems. 2020, 21(6), 2471-2483. [Accepted version]
  79. Zareapoor, M., Zhou, H. and Yang, J. "Perceptual image quality using dual generative adversarial network", Neural Computing and Applications. 2020, 32(18), 14521-14531. [Accepted version] [Source code]
  80. Lan, X., Ye, M., Zhang, S., Zhou, H. and Yuen, P.C. "Modality-correlation-aware sparse representation for RGB-infrared object tracking", Pattern Recognition Letters. 130, 12-20, 2020. [Accepted version]
  81. Ma, H., Fei, M., Jiang, Z., Li, L., Zhou, H. and Crookes, D. "A multi-population based multi-objective evolutionary algorithm", IEEE Trans. on Cybernetics. 2020, 50(2), 689-702. [Accepted version] [Source code]
  82. Sun, H., Fan, Y., Shen, J., Liu, N., Liang, D. and Zhou, H. "A novel semantics-preserving hashing for fine-grained image retrieval", IEEE Access. 8(1), 26199-26209, 2020.
  83. Kang, B., Liang, D., Ding, W., Zhou, H. and Zhu, W.-P. "Grayscale-thermal tracking via inverse sparse representation based collaborative encoding", IEEE Trans. on Image Processing. 29(1), 3401-3415, 2020. [Accepted version]

Conferences -

  1. Sun, H., Bian, Y., Liu, N. and Zhou, H. "Multi-scale edge-based U-shape network for salient object detection", the Pacific Rim International Conference on Artificial Intelligence (PRICAI), 8-12 November, 2021, Hanoi, Vietnam. [arXiv] [Source code]
  2. Sun, H., Lin, L., Liu, N. and Zhou, H. "Robust ensembling network for unsupervised domain adaptation", the Pacific Rim International Conference on Artificial Intelligence (PRICAI), 8-12 November, 2021, Hanoi, Vietnam. [arXiv] [Source code]
  3. Zhang, X., Peng, Z., Zhu, P., Zhang, T., Li, C., Zhou, H. and Jiao, L. "Adaptive affinity loss and erroneous pseudo-label refinement for weakly supervised semantic segmentation", ACM International Conference on Multimedia (ACM MM), 20-24 Oct, 2021, Chengdu, China. [Accepted version]
  4. Geng, Q., Liang, D., Zhou, H., Zhang, L., Sun, H. and Liu, N. "Dense face detection via high-level context mining", IEEE International Conference on Automatic Face and Gesture Recognition (FG), 15-18 Dec., 2021 [Accepted version]
  5. Liang, D., Wei, Z., Sun, H. and Zhou, H. "Robust cross-scene foreground segmentation in surveillance video", IEEE International Conference on Multimedia and Expo (ICME), 5-9 July, 2021. [Accepted version]
  6. Jiang, Z., Almeida, T.P., Schlindwein, F.S., Ng, G.A., Zhou, H. and Li, X. "Diagnostic of multiple cardiac disorders from 12-lead ECGs using Graph Convolutional Network based multi-label classification", Computing in Cardiology, Rimini, Italy, 13-16 Sep., 2020. [Accepted version] [PhysioNet Challenge 2020]
  7. Ding, M., Li, N., Song, Z., Zhang, R., Zhang, X. and Zhou, H. "A lightweight action recognition method for unmanned-aerial-vehicle video", IEEE International Conference on Electronics and Communication Engineering, Xi'an, China, 14-16 Dec. 2020. [Accepted version]
  8. Du, H., Minku, L. and Zhou, H. "MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments", Long paper, Proc. of 20th IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 17-20 Nov., 2020. [Accepted version] [Source code and datasets] [Supplementary] [Talk]
  9. Elmrabit, N., Zhou, F., Li, F. and Zhou, H. "Evaluation of machine learning algorithms for anomaly detection", Proc. of IEEE Cyber Science Conference, Dublin, Ireland, 15-19 June, 2020. [Accepted version] [Collective source code and presentation]
  10. Moyes, A., Zhang, K., Ji, M., Zhou, H. and Crookes, D. "Unsupervised deep learning for stain separation and artifact detection in histopathology images", Proc. of Conference on Medical Image Understanding and Analysis (MIUA), Oxford, UK, 15-17 July, 2020. [Best Paper Award] [Source code and datasets]
  11. Chen, L., Liu, Z., Tong, L., Jiang, Z., Wang, S., Dong, J. and Zhou, H. "Underwater object detection using Invert Multi-Class Adaboost with deep learning", Proc. of International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 19-24 July, 2020. [Source code and datasets]
  12. Figueira, G., Wang, Y., Sun, L., Zhou, H. and Zhang, Q. "Adversarial-based domain adaptation networks for unsupervised tumour detection in histopathology", Proc. of International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, 3-7 April, 2020.
  13. Li, Y., Xu, Z., Wang, Y., Zhou, H. and Zhang, Q. "SU-net and DU-net fusion for tumor segmentation in histopathology images", Proc. of International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, 3-7 April, 2020.

Preprint -

  1. Sun, Y., Huang, X., Wang, Y., Zhou, H. and Zhang, Q. "Magnification-independent histopathological image classification with similarity-based multi-scale embeddings", arXiv preprint: https://arxiv.org/abs/2107.01063.
  2. Zhao, H., Sun, X., Dong, J., Yu, H. and Zhou, H. "Dual discriminator adversarial distillation for data-free model compression", arXiv preprint: https://arxiv.org/abs/2104.05382.
  3. Liang, D., Wei, Z., Zhang, D., Geng, Q., Zhang, L., Sun, H., Zhou, H., Wei, M. and Gao, P. "Learning Calibrated-Guidance for Object Detection in Aerial Images", arXiv preprint: https://arxiv.org/abs/2103.11399. [Source code]
  4. Alon, Y., Yu, X. and Zhou, H. "Synthetic generation of three-dimensional cancer cell models from histopathological images", arXiv preprint: https://arxiv.org/abs/2101.11600.
  5. Alon, Y. and Zhou, H. "Multi-agent reinforcement learning for unmanned aerial vehicle coordination by multi-critic policy gradient optimization", arXiv preprint: https://arxiv.org/abs/2012.15472. [Source code 1] [Source code 2]
  6. Chen, L., Zhou, F., Wang, S., Dong, J., Li, N., Ma, H., Wang, X. and Zhou, H. "SWIPENET: Object detection in noisy underwater images", arXiv preprint: https://arxiv.org/abs/2010.10006.
  7. Liu, Z., Chen, L., Tong, L., Zhou, F., Jiang, Z., Zhang, Q., Shan, C., Wang, Y., Zhang, X., Li, L. and Zhou, H. "Deep learning based brain tumor segmentation: A survey", arXiv preprint: https://arxiv.org/abs/2007.09479.
  8. Chen, L., Tong, L., Zhou, F., Jiang, Z., Li, Z., Lv, J., Dong, J. and Zhou, H. "A benchmark dataset for both underwater image enhancement and underwater object detection", arXiv preprint: https://arxiv.org/abs/2006.15789.
  9. Lei, X., Fei, M., Zhou, W. and Zhou, H. "Perceiving unknown in dark from perspective of cell vibration", arXiv preprint: https://arxiv.org/abs/2006.02271.
  10. Jiang, Z., Liu, Z., Chen, L., Tong, L., Zhang, X., Lan, X., Crookes, D., Yang, M.-H. and Zhou, H. "Detection and tracking of multiple mice using part proposal networks", arXiv preprint: https://arxiv.org/abs/1906.02831. [Source code is coming]
  11. Tong, L., Liu, Z., Jiang, Z., Zhou, F., Chen, L., Lyu, J., Zhang, X., Zhang, Q., Sadka, A., Wang, Y., Li, L. and Zhou, H. "Cost-sensitive boosting pruning trees for depression detection on Twitter", arXiv preprint: https://arxiv.org/abs/1906.00398. [Source code and datasets]

Research Team

  • Benjamin Cham, "Automated identification of early Alzheimer's disease in medical images", School of Computing and Mathematical Sciences, University of Leicester, 9/2021-9/2025. PhD student. (co-supervised with Dr. Reza Zare).
  • Numera Shahid, "Technologies in assist in self-care of individuals with Down syndrome having mild intellectual disabilities", School of Computing and Mathematical Sciences, University of Leicester, 5/2021-5/2023. PhD student. (co-supervised with Dr. Genovefa Kefalidou).
  • Tengyue Li, "Image deblurring", School of Computing and Mathematical Sciences, University of Leicester, 2/2021-2/2022. Visiting PhD researcher (OUC).
  • Xinyu Yang, "Social behaviour analysis of mice", School of Computing and Mathematical Sciences, University of Leicester, 9/2021-9/2024. PhD student. (co-supervised with Dr. Ng Leong).
  • Jacob Bretherick, "Cyber security and data handling" (EU DOMINOES Project), School of Informatics, University of Leicester, 9/2020-6/2021. Research Assistant.
  • Shiyi Zhang, "AI based media and communication", School of Media, Communication and Sociology, University of Leicester, 9/2020-9/2023. PhD student (co-supervised with Dr. Yimei Zhu).
  • Zhenyang Li, "Detection of tiny objects in large areas by remote sensing", School of Computing and Mathematical Sciences, University of Leicester, 10/2019-9/2022. PhD student (co-supervised with Prof. Lu Liu).
  • Lijia Deng, "Crowd counting via deep learning", School of Computing and Mathematical Sciences, University of Leicester, 10/2019-9/2022. PhD student (co-supervised with Prof. Eugene Zhang).
  • Feixiang Zhou, "Interpretation of social behaviours among mice with Parkinson's disease", School of Computing and Mathematical Sciences, University of Leicester, 10/2019-9/2023. PhD student (co-supervised with Prof. Reiko Heckel).
  • Yoav Alon, "Detection of cancer areas in histopathological images with Convolutional Neural Networks", School of Computing and Mathematical Sciences, University of Leicester, 2/2019-1/2023. PhD student (co-supervised with Prof. Effie Law).
  • Elinor Jones, "Effective detection anxiety among adolescents", School of Informatics, University of Leicester, 1/2019-1/2022. PhD student (co-supervised with Dr. Sarah Gong and Prof. Eugene Zhang).
  • Honghui Du, "Machine learning for data stream mining in changing environments", School of Computing and Mathematical Sciences, University of Leicester, 9/2018-6/2021. PhD student (co-supervised with Prof. Rajeev Raman).
  • Fang Chen, "Automating oil spill detection and identification in images", School of Computing and Mathematical Sciences, University of Leicester, 3/2019-3/2022. PhD student (co-supervised with Prof. Heiko Balzter).
  • Thais Portilho, "Use of artificial intelligence to treat mental health in prisons", School of Criminology, University of Leicester, 9/2018-9/2022. PhD student (co-supervised with Dr. Wendy Fitzgibbon and Prof. Teela Sanders).
  • Haichao Zhu, "Automating fetal image analysis", School of Computing and Mathematical Sciences, University of Leicester, 10/2018-(temporary absence). PhD student (co-supervised with Dr. Fer-Jan De Vries).
  • Zhihua Liu, "Cross-model deep learning guided automated acute renal injury diagnosis", School of Computing and Mathematical Sciences, University of Leicester, 12/2020-12/2024.PhD student (co-supervised with Prof. Bing Yang).
  • Zheheng Jiang, “Automated visual tracking and social behaviour analysis with multiple mice”, School of Informatics, University of Leicester, 1/2018-10/2020. PhD student (co-supervised with Dr. Michael Hoffmann). Now, he works as a researcher at Lancaster University. [Link]
  • Lei Tong, “Cell line authorisation”, School of Informatics, University of Leicester, 5/2020-4/2024. Has completed his MPhil project on depression detection and now a PhD student (co-supervised with Prof. Thomas Erlebach and Dr. Yinhai Wang).
  • Long Chen, “Marine animal behaviour analysis with deep learning”, School of Computing and Mathematical Sciences, University of Leicester, 5/2018-4/2022. PhD student (co-supervised with Prof. Rajeev Raman).
  • Jialin Lyu, "Automated classification of Alzheimer's disease and mild cognitive impairment", School of Computing and Mathematical Sciences, University of Leicester, 11/2019-11/2021. MPhil student (co-supervised with Prof. Eugene Zhang).
  • Aite Zhao, "Multimodal gait recognition in neurodegenerative diseases", School of Informatics, University of Leicester, 12/2018-12/2019. Visiting PhD researcher (OUC).
  • Pinggai Zhang, "Optimisation with reasoning learning", School of Informatics, University of Leicester, 2018. Visitor (SHU).
  • Lisi Yang, "Image encryption", School of Informatics, University of Leicester, 2019. Visitor (SHU).
  • Siting Zou, "Process identification", School of Informatics, University of Leicester, 2019. Visitor (SHU).
  • Dr. Yuxiao Yang, "Machine learning", School of Informatics, University of Leicester, 9/2020-9/2021. Academic visitor (NUAA).
  • Dr. Nebrase Elmrabit, "Cyber security and data handling" (EU DOMINOES Project), School of Informatics, University of Leicester, 8/2018-2/2020. Research Associate. Now, a faculty member in the Department of Cyber Security and Networks, Glasgow Caledonia University, United Kingdom. [Link]
  • Prof. Fengyin Li, "Cyber-security and machine learning", School of Informatics, University of Leicester, 9/2019-9/2020. Academic visitor (QFNU).
  • Dr. Yiming Xu, "Image analysis using deep learning", School of Informatics, University of Leicester, 8/2019-8/2020. Academic visitor (NUAA). Co-hosted with Prof. Reiko Heckel.
  • Prof. Yong Wang, "SAR image processing", School of Informatics, University of Leicester, 8/2019. Academic visitor (HIT).
  • Prof. Yong Hu, "Dynamic spine image analysis and gait motion detection", School of Informatics, University of Leicester, 5/2019. Academic visitor (HKU).
  • Prof. Xin Wang, "Remote sensing data analysis", School of Informatics, University of Leicester, 9/2019-9/2020. Academic visitor (HHU).
  • Dr. Juan Liao, "Image analysis for agricultural applications", School of Informatics, University of Leicester, 12/2019-12/2020. Academic visitor (AAU).
  • Dr. Changkui Lyu, "Machine Learning", School of Informatics, University of Leicester, 9/2018-9/2019. Academic visitor (NUAA). Co-hosted with Prof. Reiko Heckel.
  • Dr. Weiye Xu, "Signal Processing and Telecommunication", School of Informatics, University of Leicester, 3/2019-2/2020. Academic visitor (NJIT). Co-hosted with Prof. Reiko Heckel.
  • Dr. Zhenhua Zhang, "Decision theory in order information systems and its application", School of Informatics, University of Leicester, 2/2018-8/2018. Academic visitor (GDUFS).
Last modified by Huiyu Zhou: 22nd September, 2021, United Kingdom.

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